Imaging support apparatus, imaging apparatus, imaging support method, and program

Abstract

There is provided an imaging support apparatus including a processor, and a memory in which the memory stores a first trained model, the first trained model is a trained model used for control related to imaging performed by an imaging apparatus, and the processor is configured to generate a second trained model used for the control by performing learning processing in which a first image, which is acquired by being captured by the imaging apparatus, and a set value, which is applied to the imaging apparatus in a case where the first image is acquired, are used as teacher data, and perform specific processing based on a first set value.

What is claimed is: 
     
         1 . An imaging support apparatus comprising:
 a processor; and   a memory connected to or built into the processor,   wherein the memory stores a first trained model,   the first trained model is a trained model used for control related to imaging performed by an imaging apparatus, and   the processor is configured to
 generate a second trained model used for the control by performing learning processing in which a first image, which is acquired by being captured by the imaging apparatus, and a set value, which is applied to the imaging apparatus in a case where the first image is acquired, are used as teacher data, 
 perform specific processing based on a first set value, which is output from the first trained model in a case where a second image is input to the first trained model, and a second set value, which is output from the second trained model in a case where the second image is input to the second trained model, and 
 display, on a display, information related to the second trained model, and 
   wherein the type of the first set value and the type of the second set value are the same.   
     
     
         2 . The imaging support apparatus according to  claim 1 ,
 wherein the information related to the second trained model includes time specification information that enables specification of time when the second trained model is generated.   
     
     
         3 . The imaging support apparatus according to  claim 1 ,
 wherein the information related to the second trained model includes an image in which an output of the second trained model is reflected.   
     
     
         4 . The imaging support apparatus according to  claim 1 ,
 wherein the information related to the second trained model is data for displaying, on the display, time specification information that enables specification of time when the second trained model is generated, in a state of being associated with an image in which an output of the second trained model is reflected.   
     
     
         5 . The imaging support apparatus according to  claim 1 ,
 wherein the second image is stored in the memory.   
     
     
         6 . The imaging support apparatus according to  claim 1 ,
 wherein the specific processing is processing that includes first processing of reflecting the second set value on the control.   
     
     
         7 . The imaging support apparatus according to  claim 1 ,
 wherein the specific processing is processing that includes second processing of storing the second trained model in a default storage device.   
     
     
         8 . The imaging support apparatus according to  claim 1 ,
 wherein the specific processing is processing that includes third processing of reflecting an output of a trained model, which is selected according to the instruction received by the processor among the first trained model and the second trained model, on the control.   
     
     
         9 . The imaging support apparatus according to  claim 1 ,
 wherein the specific processing is processing that includes fourth processing of outputting first data for displaying a fourth image corresponding to an image obtained by applying a first output result, which is output from the first trained model by inputting a third image to the first trained model, to the third image, and a sixth image corresponding to an image obtained by applying a second output result, which is output from the second trained model by inputting a fifth image to the second trained model, to the fifth image, on a first display.   
     
     
         10 . The imaging support apparatus according to  claim 1 ,
 wherein the set value is at least one of a set value related to white balance used in the imaging, a set value related to exposure used in the imaging, a set value related to focus used in the imaging, a set value related to saturation used in the imaging, or a set value related to gradation used in the imaging.   
     
     
         11 . An imaging support apparatus comprising:
 a processor; and   a memory connected to or built into the processor,   wherein the memory stores a first trained model,   the first trained model is a trained model used for control related to imaging performed by an imaging apparatus, and   the processor is configured to
 generate a second trained model used for the control by performing learning processing in which a first image, which is acquired by being captured by the imaging apparatus, and a set value, which is applied to the imaging apparatus in a case where the first image is acquired, are used as teacher data, 
 perform specific processing based on a degree of difference between the first trained model and the second trained model, and 
 display, on a display, information related to the second trained model, and 
   the first trained model outputs a first set value in a case in which a second image is input,   the second trained model outputs a second set value in a case in which the second image is input, and   the type of the first set value and the type of the second set value are the same.   
     
     
         12 . An imaging apparatus comprising:
 a processor;   a memory connected to or built into the processor; and   an imaging apparatus main body,   wherein the memory stores a first trained model,   the first trained model is a trained model used for control related to imaging performed by the imaging apparatus main body, and   the processor is configured to
 generate a second trained model used for the control by performing learning processing in which a first image, which is acquired by being captured by the imaging apparatus main body, and a set value, which is applied to the imaging apparatus main body in a case where the first image is acquired, are used as teacher data, 
 perform specific processing based on a first set value, which is output from the first trained model in a case where a second image is input to the first trained model, and a second set value, which is output from the second trained model in a case where the second image is input to the second trained model, and 
 display, on a display, information related to the second trained model, and 
   wherein the type of the first set value and the type of the second set value are the same.   
     
     
         13 . An imaging support method comprising:
 generating a second trained model used for control related to imaging performed by an imaging apparatus, by performing learning processing in which a first image, which is acquired by being captured by the imaging apparatus, and a set value, which is applied to the imaging apparatus in a case where the first image is acquired, are used as teacher data;   performing specific processing based on a first set value, which is output from a first trained model in a case where a second image is input to the first trained model, and a second set value, which is output from the second trained model in a case where the second image is input to the second trained model; and   displaying, on a display, information related to the second trained model, and   wherein the type of the first set value and the type of the second set value are the same.   
     
     
         14 . A non-transitory computer-readable storage medium storing a program executable by a computer to perform a process comprising:
 generating a second trained model used for control related to imaging performed by an imaging apparatus, by performing learning processing in which a first image, which is acquired by being captured by the imaging apparatus, and a set value, which is applied to the imaging apparatus in a case where the first image is acquired, are used as teacher data;   performing specific processing based on a first set value, which is output from a first trained model in a case where a second image is input to the first trained model, and a second set value, which is output from the second trained model in a case where the second image is input to the second trained model; and   displaying, on a display, information related to the second trained model, and   wherein the type of the first set value and the type of the second set value are the same.   
     
     
         15 . The imaging support apparatus according to  claim 1 , wherein:
 the second trained model is obtained by performing learning processing on a replication model that is obtained by replicating the first trained model, and   the specific processing is performed based on a degree of difference between the first set value and the second set value.   
     
     
         16 . The imaging support apparatus according to  claim 11 , wherein the second trained model is obtained by performing learning processing on a replication model that is obtained by replicating the first trained model. 
     
     
         17 . The imaging apparatus according to  claim 12 , wherein:
 the second trained model is obtained by performing learning processing on a replication model that is obtained by replicating the first trained model, and   the specific processing is performed based on a degree of difference between the first set value and the second set value.   
     
     
         18 . The imaging support method according to  claim 13 , wherein:
 the second trained model is obtained by performing learning processing on a replication model that is obtained by replicating the first trained model, and   the specific processing is performed based on a degree of difference between the first set value and the second set value.   
     
     
         19 . The non-transitory computer-readable storage medium according to  claim 14 , wherein:
 the second trained model is obtained by performing learning processing on a replication model that is obtained by replicating the first trained model, and   the specific processing is performed based on a degree of difference between the first set value and the second set value.